Management
892 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Management
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Libraries
Use these libraries to find Management models and implementations
BIG-bench
Most implemented papers
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations
In this work, we introduce LIFT, an end-to-end software stack for applying deep reinforcement learning to data management tasks.
A CNN-RNN Framework for Crop Yield Prediction
saeedkhaki92/CNN-RNN-Yield-Prediction
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Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
A Distributed Artificial Intelligence Framework to Evolve Infrastructure Resilience in Telecommunications Sector
The paper’s main focus is on two main purposes, the first one is the to propose a mechanism for enhancing resilience in telecom infrastructure, while the second purpose is to quantify the financial value to achieve this resilience.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
benedekrozemberczki/pytorch_geometric_temporal
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We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing.
Good Intentions: Adaptive Parameter Management via Intent Signaling
alexrenz/adapm
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Parameter management is essential for distributed training of large machine learning (ML) tasks.
Efficient Memory Management for Large Language Model Serving with PagedAttention
On top of it, we build vLLM, an LLM serving system that achieves (1) near-zero waste in KV cache memory and (2) flexible sharing of KV cache within and across requests to further reduce memory usage.
A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI
vuptran/cardiac-segmentation
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To our knowledge, this is the first application of a fully convolutional neural network architecture for pixel-wise labeling in cardiac magnetic resonance imaging.
Cryptocurrency Portfolio Management with Deep Reinforcement Learning
Portfolio management is the decision-making process of allocating an amount of fund into different financial investment products.
Adversarial Deep Reinforcement Learning in Portfolio Management
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
